Friday, 19 January 2018

Researchers Develop Computer Program That Can Predict When A Hospital Patient Will Die

A team of researchers at Stanford University in the US has developed a
computer program that can predict when a hospital patient will die with
unnerving level of accuracy.

According to the team, their program is right 90% of the time. It will
be used to provide appropriate end-of-life car to hospital patients with
a terminal disease.

The program uses artificial intelligence and was trained through
analysis of 160,000 adult and child patient files from Stanford and
Lucile Packard Children's hospital.

It looked at things in health records such as diagnosis, procedures
performed and which medicine a patient was taking. When the algorithm
was applied to 40,000 active patients (it was asked to predict which
would die in the next three to twelve months) it was correct in 90% of
cases.
"The scale of data available allowed us to build an all-cause mortality
prediction model, instead of being disease or demographic specific,"
said Anand Avati, a member of Stanford University's AI Lab, reported
IBTimes .

The researchers plan to continue refining the system with more data before it is rolled out to hospitals and medical staff.

Kenneth Jung, a research scientist at Stanford University said: "We
think that keeping a doctor in the loop and thinking of this as 'machine
learning plus the doctor' is the way to go as opposed to blindly doing
medical interventions based on algorithms... that puts us on firmer
ground both ethically and safety-wise"